Diffusion Models papers, 2023–2026

Key findings

• Diffusion Models went from 660 papers in 2023 to 2,691 in 2026, roughly 4.1x in three years.
• NeurIPS publishes the most Diffusion Models work: 2,202 papers from 2023 to 2026, 32% of the four-venue total.
• The fastest-growing overlap is with Applications · chemistry physics and earth sciences: papers tagged with both rose from 14 in 2023 to 163 in 2026.
• Among the 11 topics under Deep Learning, it ranks #1 by 2026 paper count; the fastest grower in the group, Deep learning · foundation models, is up 2.5x versus 4.1x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$\mathbf{D^{3}S^{2}}$: Diffusion-Guided Dataset Distillation for Semantic Segmentation
• ICML 2026“Do Diffusion Models Dream of Electric Planes?” Discrete and Continuous Simulation-Based Inference for Aircraft Design
• ICLR 2026$\alpha$-DPO: Robust Preference Alignment for Diffusion Models via $\alpha$ Divergence
• CVPR 20262ndMatch Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching
• NeurIPS 2025$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation
• ICML 2025A First-order Generative Bilevel Optimization Framework for Diffusion Models
• ICLR 2025$\text{I}^2\text{AM}$: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
• CVPR 20253DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement
• NeurIPS 2024$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation
• ICML 2024A Dense Reward View on Aligning Text-to-Image Diffusion with Preference
• ICLR 2024$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
• CVPR 2024D^4: Dataset Distillation via Disentangled Diffusion Model
• NeurIPS 20233D molecule generation by denoising voxel grids
• ICML 2023A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
• ICLR 2023(Certified!!) Adversarial Robustness for Free!
• CVPR 20233D Neural Field Generation Using Triplane Diffusion
• NeurIPS 2026$\text{PartConcepts}$: A Unified Mechanism for Fine-Grained Part Localization and Generation
• ICML 2026$\sigma$: Sigmoid Modulation for Ultra High Resolution Diffusion
• ICLR 2026$\textit{MADFormer}$: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation
• CVPR 20263D-LATTE Latent Space 3D Editing from Textual Instructions

All Diffusion Models papers

6,899 papers, page 138 of 138

6851. NeurIPS 2023Stable Bias: Evaluating Societal Representations in Diffusion Models
6852. NeurIPS 2023Stable Diffusion is Unstable
6853. NeurIPS 2023Star-Shaped Denoising Diffusion Probabilistic Models
6854. NeurIPS 2023Strategic Behavior in Two-sided Matching Markets with Prediction-enhanced Preference-formation
6855. NeurIPS 2023Structural Pruning for Diffusion Models
6856. NeurIPS 2023StyleGAN knows Normal, Depth, Albedo, and More
6857. NeurIPS 2023StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
6858. NeurIPS 2023Subject-driven Text-to-Image Generation via Apprenticeship Learning
6859. NeurIPS 2023Symbolic Discovery of Optimization Algorithms
6860. NeurIPS 2023SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions
6861. NeurIPS 2023SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis
6862. NeurIPS 2023Synthetic Experience Replay
6863. NeurIPS 2023T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
6864. NeurIPS 2023Tanh Works Better with Asymmetry
6865. NeurIPS 2023Temporal Dynamic Quantization for Diffusion Models
6866. NeurIPS 2023Text-to-Image Diffusion Models are Zero Shot Classifiers
6867. NeurIPS 2023TextDiffuser: Diffusion Models as Text Painters
6868. NeurIPS 2023The CLIP Model is Secretly an Image-to-Prompt Converter
6869. NeurIPS 2023The probability flow ODE is provably fast
6870. NeurIPS 2023The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
6871. NeurIPS 2023TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models
6872. NeurIPS 2023Towards Consistent Video Editing with Text-to-Image Diffusion Models
6873. NeurIPS 2023Towards Symmetry-Aware Generation of Periodic Materials
6874. NeurIPS 2023Towards Test-Time Refusals via Concept Negation
6875. NeurIPS 2023Training Energy-Based Normalizing Flow with Score-Matching Objectives
6876. NeurIPS 2023Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis
6877. NeurIPS 2023Trans-Dimensional Generative Modeling via Jump Diffusion Models
6878. NeurIPS 2023Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters
6879. NeurIPS 2023Tree-Rings Watermarks: Invisible Fingerprints for Diffusion Images
6880. NeurIPS 2023TWIGMA: A dataset of AI-Generated Images with Metadata From Twitter
6881. NeurIPS 2023Uncertainty Quantification via Neural Posterior Principal Components
6882. NeurIPS 2023Understanding and Mitigating Copying in Diffusion Models
6883. NeurIPS 2023Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
6884. NeurIPS 2023Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry
6885. NeurIPS 2023Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
6886. NeurIPS 2023UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
6887. NeurIPS 2023Unifying GANs and Score-Based Diffusion as Generative Particle Models
6888. NeurIPS 2023Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model
6889. NeurIPS 2023UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
6890. NeurIPS 2023Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation
6891. NeurIPS 2023Unsupervised Semantic Correspondence Using Stable Diffusion
6892. NeurIPS 2023Variational Inference with Gaussian Score Matching
6893. NeurIPS 2023ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields
6894. NeurIPS 2023VideoComposer: Compositional Video Synthesis with Motion Controllability
6895. NeurIPS 2023VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
6896. NeurIPS 2023Visual Instruction Inversion: Image Editing via Image Prompting
6897. NeurIPS 2023Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
6898. NeurIPS 2023When Does Confidence-Based Cascade Deferral Suffice?
6899. NeurIPS 2023Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness

FAQ

How many Diffusion Models papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

6,900 in total: 660 in 2023, 1,471 in 2024, 2,078 in 2025, 2,691 in 2026.

How many Diffusion Models papers are at NeurIPS 2026?

NeurIPS 2026 has 661 Diffusion Models papers, versus 694 the year before.

How many Diffusion Models papers are at ICLR 2026?

ICLR 2026 has 694 Diffusion Models papers, versus 487 the year before.

How many Diffusion Models papers are at ICML 2026?

ICML 2026 has 728 Diffusion Models papers, versus 346 the year before.

How many Diffusion Models papers are at CVPR 2026?

CVPR 2026 has 608 Diffusion Models papers, versus 551 the year before.

Which conference publishes the most Diffusion Models papers?

NeurIPS, with 2,202 papers from 2023 to 2026.